iManage
Being a Senior NLP Data Engineer at iManage Means…
We offer a flexible working policy that supports a healthy balance between personal and professional well‑being. This role requires in‑office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers—while also maintaining the flexibility for meaningful work‑life balance.
You’re passionate about transforming unstructured text into meaningful insights that power AI and machine‑learning solutions. You thrive at the intersection of data engineering, AI and natural‑language processing, building the pipelines and datasets that fuel generative‑AI applications, agentic systems, advanced model fine‑tuning and other NLP‑driven capabilities across iManage.
As an NLP Data Engineer on the Applied AI team, you will design, build, and optimize large‑scale text data pipelines that power AI/ML and generative‑AI solutions for our customers. You’ll work with knowledge engineering, applied AI, and product teams to prepare, enrich, and integrate document data. Your work will be essential to enabling intelligent, AI‑powered features across the iManage platform.
iM Responsible For…
Designing, developing and maintaining scalable pipelines in MSFT Azure to ingest and transform large volumes of text data from multiple sources
Designing automated workflows for text normalization, deduplication, language identification, PII redaction and metadata enrichment
Building automated data validation processes to ensure accuracy and consistency
Supporting model fine‑tuning, semantic search and generative AI evaluation tuning through dataset curation, prompt dataset preparation, labeling coordination, and text quality validation
Partnering with the Applied AI team to gather data requirements and build data interfaces for developing and maintaining machine‑learning systems
Maintaining data lineage and following data privacy, security and governance best practices
Implementing data versioning and lineage tracking for machine‑learning experiments
iM Qualified Because I Have…
A bachelor’s degree or higher in Computer Science, Data Engineering, Applied Mathematics, Computational Linguistics, or a quantitative related field
4+ years of data engineering experience, with at least 2 years working with unstructured data in a business setting
Strong proficiency in Python, PySpark, and data manipulation for large unstructured text datasets
Strong understanding of NLP concepts such as tokenization, embeddings, semantic search, and experience with standard text libraries such as SpaCy, HuggingFace Datasets, NLTK
Solid DataOps knowledge and experience orchestrating advanced NLP data pipelines using cloud‑based data infrastructure
Proficiency with Git and collaborative development frameworks
A passion for enabling AI capabilities through scalable, reliable data architecture
Problem solving, creativity, curiosity, and a collaborative mindset
Bonus Points If I Have…
Exposure to Microsoft Azure Services such as Fabric, ADLS, AI Foundry, Azure ML, MLflow
Experience with knowledge graph implementation for NLP applications
Experience working with data for the legal domain
Experience designing architectures for large‑scale text corpora
iM Getting To…
Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture
Have flexible work hours that allow me to balance my ‘me time’ with my work commitments
Collaborate in a modern open‑plan workspace, with a gaming area, free snacks, drinks and regular social events
Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols
Own my career path with our internal development framework. Ask us more about this!
Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning
Join an innovative, industry‑leading SaaS company that is continuing to grow & scale
iManage Is Supporting Me By…
Creating an inclusive environment where I can help shape the culture, not just fit in but add to it
Providing a market‑competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data
Rewarding me with an annual performance‑based bonus
Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401(k) Retirement Savings Plan with a company match up to 4%
Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave
Providing me with a flexible time off policy to take the time off that I need – be it for vacation, volunteering, celebrating holidays, spending time with family or simply taking time to recharge and reset
Caring for my mental health and well‑being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more
The overall US annual base salary range for this position is $120,000–$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
About iManage… iManage is dedicated to Making Knowledge Work™. Over one million professionals across 65+ countries rely on our intelligent, cloud‑enabled, secure knowledge‑work platform to uncover and activate the knowledge that exists inside their business content and communications.
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; our work is not always easy but it is ambitious and rewarding.
So we’re looking for people who love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we do things that might appear impossible. How we develop our employees’ strengths and unlock their potential. How we find meaning in everything we do.
Whoever you are, whatever you do, however you work. Make it mean something at iManage.
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Learn more at: www.imanage.com
Please see our privacy statement for more information on how we handle your personal data: https://imanage.com/privacy-policy/
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You’re passionate about transforming unstructured text into meaningful insights that power AI and machine‑learning solutions. You thrive at the intersection of data engineering, AI and natural‑language processing, building the pipelines and datasets that fuel generative‑AI applications, agentic systems, advanced model fine‑tuning and other NLP‑driven capabilities across iManage.
As an NLP Data Engineer on the Applied AI team, you will design, build, and optimize large‑scale text data pipelines that power AI/ML and generative‑AI solutions for our customers. You’ll work with knowledge engineering, applied AI, and product teams to prepare, enrich, and integrate document data. Your work will be essential to enabling intelligent, AI‑powered features across the iManage platform.
iM Responsible For…
Designing, developing and maintaining scalable pipelines in MSFT Azure to ingest and transform large volumes of text data from multiple sources
Designing automated workflows for text normalization, deduplication, language identification, PII redaction and metadata enrichment
Building automated data validation processes to ensure accuracy and consistency
Supporting model fine‑tuning, semantic search and generative AI evaluation tuning through dataset curation, prompt dataset preparation, labeling coordination, and text quality validation
Partnering with the Applied AI team to gather data requirements and build data interfaces for developing and maintaining machine‑learning systems
Maintaining data lineage and following data privacy, security and governance best practices
Implementing data versioning and lineage tracking for machine‑learning experiments
iM Qualified Because I Have…
A bachelor’s degree or higher in Computer Science, Data Engineering, Applied Mathematics, Computational Linguistics, or a quantitative related field
4+ years of data engineering experience, with at least 2 years working with unstructured data in a business setting
Strong proficiency in Python, PySpark, and data manipulation for large unstructured text datasets
Strong understanding of NLP concepts such as tokenization, embeddings, semantic search, and experience with standard text libraries such as SpaCy, HuggingFace Datasets, NLTK
Solid DataOps knowledge and experience orchestrating advanced NLP data pipelines using cloud‑based data infrastructure
Proficiency with Git and collaborative development frameworks
A passion for enabling AI capabilities through scalable, reliable data architecture
Problem solving, creativity, curiosity, and a collaborative mindset
Bonus Points If I Have…
Exposure to Microsoft Azure Services such as Fabric, ADLS, AI Foundry, Azure ML, MLflow
Experience with knowledge graph implementation for NLP applications
Experience working with data for the legal domain
Experience designing architectures for large‑scale text corpora
iM Getting To…
Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture
Have flexible work hours that allow me to balance my ‘me time’ with my work commitments
Collaborate in a modern open‑plan workspace, with a gaming area, free snacks, drinks and regular social events
Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols
Own my career path with our internal development framework. Ask us more about this!
Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning
Join an innovative, industry‑leading SaaS company that is continuing to grow & scale
iManage Is Supporting Me By…
Creating an inclusive environment where I can help shape the culture, not just fit in but add to it
Providing a market‑competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data
Rewarding me with an annual performance‑based bonus
Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401(k) Retirement Savings Plan with a company match up to 4%
Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits
Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave
Providing me with a flexible time off policy to take the time off that I need – be it for vacation, volunteering, celebrating holidays, spending time with family or simply taking time to recharge and reset
Caring for my mental health and well‑being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more
The overall US annual base salary range for this position is $120,000–$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
About iManage… iManage is dedicated to Making Knowledge Work™. Over one million professionals across 65+ countries rely on our intelligent, cloud‑enabled, secure knowledge‑work platform to uncover and activate the knowledge that exists inside their business content and communications.
We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; our work is not always easy but it is ambitious and rewarding.
So we’re looking for people who love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we do things that might appear impossible. How we develop our employees’ strengths and unlock their potential. How we find meaning in everything we do.
Whoever you are, whatever you do, however you work. Make it mean something at iManage.
iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Learn more at: www.imanage.com
Please see our privacy statement for more information on how we handle your personal data: https://imanage.com/privacy-policy/
#LI-Hybrid
#LI-RW1
#J-18808-Ljbffr